Evidence map›Paper›PMID 41646701›Full record

ArticlemedRxiv : the preprint server for health sciences2026

Workplace Pollution and Risk of Incident Coronary Artery Disease.

Hua Gao, Kai-Uwe Jarr, Yoko Kojima, Ting Xiong, Juyong Brian Kim, Paul Cheng, Leonardo Trasande, Annette Peters, Gerard Pasterkamp, Chiara Giannarelli and 1 more

Abstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Hua GaoDivision of Vascular Surgery, Department of Surgery, Stanford University School of Medicine, Stanford, CA, USA.
Kai-Uwe JarrDepartment of Cardiology, Angiology, and Pneumology, Heidelberg University Hospital, Heidelberg, Germany.
Yoko KojimaDivision of Vascular Surgery, Department of Surgery, Stanford University School of Medicine, Stanford, CA, USA.
Ting XiongDivision of Vascular Surgery, Department of Surgery, Stanford University School of Medicine, Stanford, CA, USA.
Juyong Brian KimDivision of Cardiovascular Medicine, Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA.
Paul ChengStanford Cardiovascular Institute, Stanford, CA, USA.
Leonardo TrasandeDepartment of Pediatrics, New York University Grossman School of Medicine, New York, NY, USA.
Annette PetersInstitute of Epidemiology, Helmholtz Zentrum München-German Research Center for Environmental Health, Neuherberg, Germany.
Gerard PasterkampLaboratory of Experimental Cardiology, Division of Heart and Lungs, University Medical Center Utrecht, University Utrecht, the Netherlands.
Chiara GiannarelliNYULH Cardiovascular Research Center, Department of Medicine, New York University Langone Health, New York, New York, USA.
Nicholas J LeeperDivision of Vascular Surgery, Department of Surgery, Stanford University School of Medicine, Stanford, CA, USA.

Funding

ACTIV Integration of Host-targeting Therapies for COVID-19 Administrative Coordinating CenterOT2HL156812 · NHLBI · RESEARCH TRIANGLE INSTITUTE · PI NOLEN, TRACY L, THOMAS, SONIA M · 2020 to 2024
$1270.7M
Scientific Human Biomarker Exposure Monitoring Core (HEMC) for the Air pollution disrupts Inflammasome Regulation in HEart And Lung Total Health (AIRHEALTH) StudyP01HL152953 · NHLBI · STANFORD UNIVERSITY · PI NADEAU, KARI C. · 2021 to 2025
$9.8M
Clonal expansion, resistance to efferocytosis and innate immunity in atherosclerosisR35HL144475 · NHLBI · STANFORD UNIVERSITY · PI LEEPER, NICHOLAS JAMES · 2019 to 2024
$5.1M
Dissecting the role of CD8+ T cells in atherosclerosisR01HL153712 · NHLBI · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI GIANNARELLI, CHIARA · 2020 to 2024
$3.3M
Mechanisms of atherosclerotic cardiovascular complications in COVID19R01HL165258 · NHLBI · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI GIANNARELLI, CHIARA · 2022 to 2025
$3.1M
Identifying tobacco-genetic interactions through study of the aryl hydrocarbon receptor pathway.R01HL151535 · NHLBI · STANFORD UNIVERSITY · PI QUERTERMOUS, THOMAS · 2021 to 2024
$2.7M
The role of cancer in cardiovascular diseaseR35HL176060 · NHLBI · STANFORD UNIVERSITY · PI Nicholas James Leeper · 2025 to 2026
$2.2M
Unfolding the role of misfolded proteins in smooth muscle cell phenotypic modulation and atherosclerosisR03HL173074 · NHLBI · STANFORD UNIVERSITY · PI KIM, JUYONG BRIAN · 2024 to 2025
$232k
NHLBI NIH HHS OT2 HL156812NHLBI NIH HHS P01 HL152953NHLBI NIH HHS R01 HL151535NHLBI NIH HHS R01 HL153712NHLBI NIH HHS R01 HL165258NHLBI NIH HHS R03 HL173074NHLBI NIH HHS R35 HL144475NHLBI NIH HHS R35 HL176060
6 · The paper itself

Abstract

Importance: Genetic factors only explain ~50% of an individual's lifetime CAD risk. Workplace pollution exposure likely represents a significant, under-recognized, and modifiable contributor. Clarifying its independent effect - distinct from residential air pollution - could inform targeted prevention, clinical risk assessment, and policy strategies. Objective: To quantify the independent association between workplace pollution exposure and incident CAD, rigorously adjusting for canonical risk factors, genetic risk, socioeconomic deprivation index, and residential air pollution. Design Setting and Participants: A prospective cohort analysis of 103,599 adults in the UK Biobank with complete baseline employment history and specialized workplace environment surveys. Participants with prior CAD, or missing genetic information, canonical risk factor data, or residential air pollution measurements, were excluded. Exposure: Cumulative, self-reported duration of exposure to workplace pollutants (including dust, smoke, exhaust, chemicals, asbestos, paints, and pesticides), summarized as a percentile measure. Main Outcomes and Measures: Incident CAD. Associations were estimated using Cox proportional hazards models adjusted for demographics, comorbidities, CAD polygenic risk score, and residential air pollution metrics, accounting for competing death events. Results: The cohort (median age 64 years; 43% male) had high baseline prevalence of smoking (41%) and co-morbidities (hypertension 27%, hyperlipidemia 16%, diabetes 4.3%). Common exposures included smoke (56%), dust (39%), and chemicals (27%). Over a median 7.5-year follow-up, 4,327 CAD cases occurred. Compared to the low exposure group, high workplace pollution exposures showed a stronger unadjusted association with CAD (hazard ratio [HR], 1.51; 95% CI, 1.40-1.63) relative to residential air pollution (unadjusted HR, 1.23; 95% CI, 1.14-1.33). Importantly, in multivariable models, workplace pollution remained independently associated with higher CAD incidence (adjusted HR, 1.21; 95% CI, 1.03-1.41), robust to all adjustment. Significant specific drivers included paints, thinners or glues, diesel exhaust, fumes, asbestos, and dust. Conclusions and Relevance: Workplace pollution is confirmed as a robust, independent risk factor for incident CAD. Its association is demonstrably stronger than residential air pollution and persists despite comprehensive adjustment for genetic predisposition and traditional cardiovascular risk factors. These findings underscore the need to strengthen worker protections, integrate occupational history into clinical risk assessment, and prioritize mechanistic research into non-lipid pollution pathways.

Identifiers

PMID41646701
PMCPMC12870662

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LicenceCC BY-NC
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.